Abstract
This paper aims to optimize a manufacturing process through creation of a simulation model that will be
used to identify bottlenecks, restructure the layout and improve productivity. The paper also highlights the
significance of process optimization in a manufacturing set up. Process optimizations strive to find the
best solution for a process within the available constraints. Simulation is a collection of methodologies
used to mimic the characteristics and behaviour of real system using computer software. Literature review
was carried out to understand system dynamics and simulation. A case study was conducted at a
manufacturing company. An Arena simulation model representing the process under study was developed
and analysed. Various models were run and the results compared. The best model was developed that
improved productivity through restructuring of the layout and minimization of the cycle times on the
identified bottleneck stations. The simulation results showed that there was a vast difference on the
amount of material input and the ATMs and Safes produced. The limitation of this study was that it only
focused on the production of two products in the case studied company.